Numerical Methods Using Kotlin : For Data Science, Analysis, and Engineering / by Haksun Li, PhD.

Format:

Book

Author/Creator:

Li, Haksun, author.

Language:

English

Subjects (All):

Programming languages (Electronic computers).

Artificial intelligence--Data processing.

Artificial intelligence.

Computer science.

Java (Computer program language).

Programming Language.

Data Science.

Computer Science.

Java.

Local Subjects:

Programming Language.

Data Science.

Computer Science.

Java.

Physical Description:

1 online resource (914 pages)

Edition:

1st ed. 2023.

Place of Publication:

Berkeley, CA : Apress : Imprint: Apress, 2023.

Summary:

This in-depth guide covers a wide range of topics, including chapters on linear algebra, root finding, curve fitting, differentiation and integration, solving differential equations, random numbers and simulation, a whole suite of unconstrained and constrained optimization algorithms, statistics, regression and time series analysis. The mathematical concepts behind the algorithms are clearly explained, with plenty of code examples and illustrations to help even beginners get started. In this book, you'll implement numerical algorithms in Kotlin using NM Dev, an object-oriented and high-performance programming library for applied and industrial mathematics. Discover how Kotlin has many advantages over Java in its speed, and in some cases, ease of use. In this book, you’ll see how it can help you easily create solutions for your complex engineering and data science problems. After reading this book, you'll come away with the knowledge to create your own numerical models and algorithms using the Kotlin programming language. You will: Program in Kotlin using a high-performance numerical library Learn the mathematics necessary for a wide range of numerical computing algorithms Convert ideas and equations into code Put together algorithms and classes to build your own engineering solutions Build solvers for industrial optimization problems Perform data analysis using basic and advanced statistics.

Contents:

1: Introduction to Numerical Methods in Kotlin

2: Linear Algebra

3: Finding Roots of Equations

4: Finding Roots of Systems of Equations

5: Curve Fitting and Interpolation

6: Numerical Differentiation and Integration

7: Ordinary Differential Equations

8: Partial Differential Equations

9: Unconstrained Optimization

10: Constrained Optimization

11: Heuristics

12: Basic Statistics

13: Random Numbers and Simulation

14: Linear Regression

15: Time Series Analysis.

Notes:

Includes index.

Other Format:

Print version: Li, Haksun Numerical Methods Using Kotlin

ISBN:

9781484288269

1484288262

OCLC:

1356794548